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Cohort Analysis Designer

Design and implement cohort analyses for retention measurement, behavioral segmentation, and product analytics. Provides SQL implementations, visualization recommendations, and statistical interpretation guidance.

Gold
v1.0.00 activationsData & AnalyticsTechnologyadvanced

SupaScore

84
Research Quality (15%)
8.5
Prompt Engineering (25%)
8.5
Practical Utility (15%)
8.5
Completeness (10%)
8.5
User Satisfaction (20%)
8
Decision Usefulness (15%)
8.5

Best for

  • Designing time-based cohort analyses to measure user retention across monthly sign-up cohorts
  • Building behavioral cohorts comparing feature adopters vs non-adopters for product impact analysis
  • Creating SQL implementations for rolling vs bounded retention calculations in BigQuery/Snowflake
  • Analyzing revenue cohort performance for SaaS subscription businesses using NRR/GRR metrics
  • Designing cohort heatmaps and retention curves for executive dashboard reporting

What you'll get

  • SQL query template with CTEs for time-based cohort creation, retention calculation logic, and cohort matrix pivoting
  • Cohort analysis framework document specifying cohort definitions, retention metrics, statistical significance tests, and visualization specifications
  • Retention curve interpretation guide explaining normal retention patterns, statistical significance, and actionable insights derivation
Not designed for ↓
  • ×Basic SQL query writing without cohort-specific time-series logic
  • ×General customer segmentation without time-based retention measurement
  • ×One-off retention calculations without systematic cohort framework design
  • ×Statistical modeling beyond descriptive cohort analysis (survival analysis, predictive churn)
Expects

Clear retention measurement objective, available data schema with user IDs and timestamps, and definition of what constitutes an 'active' user event.

Returns

Complete cohort analysis framework including SQL implementation, retention matrix structure, visualization recommendations, and statistical interpretation guidance.

Evidence Policy

Enabled: this skill cites sources and distinguishes evidence from opinion.

cohort-analysisretentionproduct-analyticssql-analyticsbehavioral-segmentationretention-curveuser-retentionchurn-analysisdata-visualizationacquisition-cohortssurvival-analysisheatmap

Research Foundation: 8 sources (3 official docs, 1 industry frameworks, 2 academic, 2 books)

This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.

Version History

v1.0.02/15/2026

Initial release

Prerequisites

Use these skills first for best results.

Works well with

Need more depth?

Specialist skills that go deeper in areas this skill touches.

Common Workflows

Product Analytics Retention Pipeline

Design cohort framework, analyze retention patterns, then create executive dashboards

Data Pipeline to Insights

Optimize data queries, implement cohort analysis, then scale in cloud analytics platform

SQL Query Optimizercohort-analysis-designerBigQuery Analytics Expert

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